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The Coronavirus Dashboard: the case of Sri Lanka
This Coronavirus dashboard: the case of Sri Lanka provides an overview of the 2019 Novel Coronavirus COVID-19 (2019-nCoV) epidemic for Sri Lanka. This dashboard is built with R using the R Makrdown framework and was adapted from this dashboard by Rami Krispin and the code is adapted from GitHub by Antoine Soetewey. More details can be found in this article.
Code
<<<<<<< HEADThe code behind this dashboard is available on GitHub
=======The code behind this dashboard is available on GitHub by the main author Andrew and more details can be found in this article.
=======### World map of cases (use + and - icons to zoom in/out)
The Coronavirus Dashboard: the case of Belgium
This Coronavirus dashboard: the case of Belgium provides an overview of the 2019 Novel Coronavirus COVID-19 (2019-nCoV) epidemic for Belgium. This dashboard is built with R using the R Makrdown framework and was adapted from this dashboard by Rami Krispin.
Code
The code behind this dashboard is available on GitHub.
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The input data for this dashboard is the dataset available from the {coronavirus} R package. Make sure to download the development version of the package to have the latest data:
install.packages("devtools")
devtools::install_github("RamiKrispin/coronavirus")
The data and dashboard are refreshed on a daily basis.
The raw data is pulled from the Johns Hopkins University Center for Systems Science and Engineering (JHU CCSE) Coronavirus repository.